Vor Ort
Merkzettel Warenkorb
Produktbild: Image and Graphics
Band 16161 - 11%

Image and Graphics 13th International Conference, ICIG 2025, Xuzhou, China, October 31–November 2, 2025, Proceedings, Part I

Aus der Reihe Lecture Notes in Computer Science
11% sparen

79,99 € UVP 90,19 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.11.2025

Abbildungen

XXXI, 230 illus., 204 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Zhouchen Lin + weitere

Verlag

Springer Singapore

Seitenzahl

578

Maße (L/B/H)

23,5/15,5/3,3 cm

Gewicht

914 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9533-97-8

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.11.2025

Abbildungen

XXXI, 230 illus., 204 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Verlag

Springer Singapore

Seitenzahl

578

Maße (L/B/H)

23,5/15,5/3,3 cm

Gewicht

914 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9533-97-8

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Image and Graphics

  • Part  1 ：Artificial Intelligence:

    .- SRG-Net: Semantic Relation-Guided Network for Commonsense Video Captioning.

    .- EAANet: Edge-Aware Attention Network for Real-Time Road Scene Understanding.

    .- Learning A Decomposition-Driven Two Stages Unfolding Artifact Removal Network for Compressed Images.

    .- Martingale-Based Skin Lesion Segmentation from Dermoscopic Images.

    .- Research on Adaptive Multi-layer Multi-pass Welding Technology for Medium-Thick Plates.

    .- M³E: Mixture of Multi-scale Multi-modal Experts for Time Series Forecasting.

    .- PoseCLR Bridging 2D and 3D Pose Representations via Contrastive Learning for Action Recognition.

    .- Art3D-Fusion: A Hybrid Framework for Visual Synthesis with Artistic Control.

    .- Lesion Localization Prior-Driven Few-Shot Learning for Branch Atheromatous Disease Diagnosis.

    .- Deep Multi-Sentence Aligned Cross-Modal Retrieval.

    .- Single-Layer Denoising Taylorformer for UAV Nighttime Tracking.

    .- Position-Aware Text-to-Image Generation with Efficient Controllability.

    .- Introducing DINOv2 for Medical Image Boundary Tracking.

    .- Adaptive Pruning and Cross-Domain Feature Fusion for Robust Object Tracking.

    .- Data Leakage Detection in Large Vision-Language Models via Multimodal Perturbation.

    .- A Novel Dual-Branch Cross-Attention Transformer Network for Low-Dose CT Denoising.

    .- TCGFNet: Multi-Scale Transformer-Convolution with Geometry-Guided Feedback for Robust Point Cloud Denoising.

    .- Adversarial Iterative Pre-Enactment Framework for Air Combat Based on Mental Simulation Theory.

    .- SA-Pillar: Structure-Aware Feature Learning for Real-Time 3D Object Detection.

    .- Knowledge-aware Intent Subgraph Learning for Recommendation.

    .- PF-DETR:Enhanced DETR with Pre-Encoded Feature Fusion for Small and Multi-Scale Object Detection in UAV Imagery.

    .- Selective Labeling for 3D Shape Label Transfer based on Local-Global Features.

    .- Part  2 ：Biological and Medical Image Processing:

    .- MAA-Net: A Multi-Attention Aggregation Network for Segmentation of Key Structures in Microvascular Decompression.

    .- Contrastive Hierarchical Graph based Multiple Instance Learning for Fundus Screening

    .- Polyp Segmentation based on Edge Guidance.

    .- A Deep Unfolding based on U-Net Graph-Guided Hybrid Regularization  method for Bioluminescence Tomography.

    .- CMambaR: Cardiac Phase Embedded Vision  Mamba for Accelerating Cardiac MRI  Reconstruction.

    .- SC-DSE-nnUNet: An Efficient Hippocampus MRI Segmentation Method.

    .- Spatiotemporal Feature Fusion for Glioblastoma Recurrence Prediction Using Mamba-Based Dual-Stream Framework.

    .- Automatic and Fast Segmentation of Cochlear Implant-Induced Artifacts in MR Images Using Deep Learning.

    .- Part  3 ：Color and Multispectral Processing:

    .- End-to-End Diffusion Models with Physics Priors for Enhanced Spectral Super-Resolution.

    .- Asymmetric Dual-Teacher Guided Knowledge Distillation for HSI-SR with Reconstructed Features.

    .- Gradient-based multi-focus image fusion with  focus-aware saliency enhancement.

    .- OME-Net: Optimization-inspired Multi-domain Enhanced Network for Image Compressed Sensing Reconstruction.

    .- Part  4 ：Compression, Transmission, Retrieval:

    .- MARSNet: Scalable Deep Coding of LiDAR Point Clouds via Multimodal and Residual Learning.

    .- Accelerating Learned Video Compression via Low-Resolution Representation Learning.

    .- Optical Flow-driven Fast CU Partition for Inter Prediction in Versatile Video Coding.

    .- Semantic Maintained Video Compression by Background Blurring in Surveillance Scenarios.

    .- Learning Based Fast Coding Unit Decision for Video-based Point Cloud Compression.

    .- Part  5 ：Computational Imaging:

    .- Leveraging a Dual-Learning Methodology Based on Degradation Modeling and Fractional Fourier Image Transformer for Light Field Image Super-Resolution.

    .- Video Stabilization Based on MeshFlow Motion Model in Dynamic and Complex Scenes.

    Dual-Edge Consistency Constrained Unfolding Network for Depth Map Super-Resolution.

    .- Part  6 ：Computer Graphics and Visualization:

    .- Isotropic Remeshing with Inter-Angle Optimization.

    .- AlignMR: Design of a Home Yoga Self Learning System Based on MR Technology.

    .- Bi-IRNet: A Transformer-based Binaural Impulse Response Generation Guidance Model.